Low visibility caused by fog, smoke, low lighting, or camera obstruction can compromise safety and
surveillance efficiency. In such conditions, traditional CCTV systems struggle to capture clear footage or
alert operators, increasing the risk of accidents, undetected incidents, and compliance failures.
Our Solution
Marwiz Vision’s AI-driven Poor Visibility Detection system continuously monitors video clarity and
lighting levels. It automatically identifies low-visibility conditions such as darkness, glare, or
lens obstruction and notifies operators instantly, ensuring uninterrupted safety and operational
awareness.
Where It Works Best
Roads, Highways & Tunnels: Detect low-visibility conditions such as fog, glare, or poor
lighting to enhance traffic safety and surveillance.
Industrial & Construction Sites: Monitor work zones to prevent accidents caused by
obstructed views or inadequate lighting.
Warehouses & Manufacturing Units: Ensure operational safety by identifying areas with
poor visibility that could hinder workflow or monitoring.
Public Infrastructure & Parking Areas: Maintain clear surveillance and prevent incidents
in public spaces, even in dimly lit or obstructed zones.
Hospitals & Commercial Buildings: Guarantee consistent video clarity in critical areas
for safety, security, and operational oversight.
Results & Benefits:
Real-Time Alerts for Low-Visibility or Obstruction Issues: Receive instant notifications
when cameras detect poor lighting or obstructions.
Enables Quick Corrective Action for Better Safety: Allow operators to address visibility
issues immediately, reducing accident risks.
Ensures Reliable Surveillance in All Weather or Lighting Conditions: Maintain continuous
monitoring regardless of environmental or lighting challenges.
Reduces Blind Spots and Monitoring Failures: Identify and correct areas with poor
visibility to enhance overall security coverage.
Supports Compliance with Safety and Audit Standards: Automatically generate records to
meet regulatory and operational safety requirements.